A retrospective review of categorical data analysis – theory and marketing practice
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- Carolyn Anderson, 1996. "The analysis of three-way contingency tables by three-mode association models," Psychometrika, Springer;The Psychometric Society, vol. 61(3), pages 465-483, September.
- Daniel McFadden, 2001.
"Economic Choices,"
American Economic Review, American Economic Association, vol. 91(3), pages 351-378, June.
- McFadden, Daniel L., 2000. "Economic Choices," Nobel Prize in Economics documents 2000-6, Nobel Prize Committee.
- Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
- Daniel McFadden, 1986. "The Choice Theory Approach to Market Research," Marketing Science, INFORMS, vol. 5(4), pages 275-297.
- McCulloch, Robert & Rossi, Peter E., 1994. "An exact likelihood analysis of the multinomial probit model," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 207-240.
- Cramer,J. S., 2011.
"Logit Models from Economics and Other Fields,"
Cambridge Books,
Cambridge University Press, number 9780521188036, September.
- Cramer,J. S., 2003. "Logit Models from Economics and Other Fields," Cambridge Books, Cambridge University Press, number 9780521815888, September.
- Franses,Philip Hans & Paap,Richard, 2010.
"Quantitative Models in Marketing Research,"
Cambridge Books,
Cambridge University Press, number 9780521143653, September.
- Franses,Philip Hans & Paap,Richard, 2001. "Quantitative Models in Marketing Research," Cambridge Books, Cambridge University Press, number 9780521801669.
- DeSarbo, Wayne S. & Kim, Youngchan & Wedel, Michel & Fong, Duncan K. H., 1998. "A Bayesian approach to the spatial representation of market structure from consumer choice data," European Journal of Operational Research, Elsevier, vol. 111(2), pages 285-305, December.
- A. Gelman & Y. Goegebeur & F. Tuerlinckx & I. Van Mechelen, 2000. "Diagnostic checks for discrete data regression models using posterior predictive simulations," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 49(2), pages 247-268.
- Wei‐Chien Chang, 1983. "On Using Principal Components before Separating a Mixture of Two Multivariate Normal Distributions," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 32(3), pages 267-275, November.
- Hausman, Jerry A & Wise, David A, 1978.
"A Conditional Probit Model for Qualitative Choice: Discrete Decisions Recognizing Interdependence and Heterogeneous Preferences,"
Econometrica, Econometric Society, vol. 46(2), pages 403-426, March.
- J. A. Hausman & D. A. Wise, 1976. "A Conditional Profit Model for Qualitative Choice: Discrete Decisions Recognizing Interdependence and Heterogeneous Preferences," Working papers 173, Massachusetts Institute of Technology (MIT), Department of Economics.
- King E.N. & Ryan T.P., 2002. "A Preliminary Investigation of Maximum Likelihood Logistic Regression versus Exact Logistic Regression," The American Statistician, American Statistical Association, vol. 56, pages 163-170, August.
- Dillon, William R & Mulani, Narendra & Frederick, Donald G, 1989. "On the Use of Component Scores in the Presence of Group Structure," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 16(1), pages 106-112, June.
- Vartan Choulakian, 1988. "Exploratory analysis of contingency tables by loglinear formulation and generalizations of correspondence analysis," Psychometrika, Springer;The Psychometric Society, vol. 53(2), pages 235-250, June.
- Amemiya, Takeshi, 1981. "Qualitative Response Models: A Survey," Journal of Economic Literature, American Economic Association, vol. 19(4), pages 1483-1536, December.
- Daniel L. McFadden, 1976. "Quantal Choice Analysis: A Survey," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 363-390, National Bureau of Economic Research, Inc.
- John W. McDonald & Peter W. F. Smith & Jonathan J. Forster, 1999. "Exact Tests of Goodness of Fit of Log-Linear Models for Rates," Biometrics, The International Biometric Society, vol. 55(2), pages 620-624, June.
- Peter M. Guadagni & John D. C. Little, 1983. "A Logit Model of Brand Choice Calibrated on Scanner Data," Marketing Science, INFORMS, vol. 2(3), pages 203-238.
- P. K. Kannan & Gordon P. Wright, 1991. "Modeling and Testing Structured Markets: A Nested Logit Approach," Marketing Science, INFORMS, vol. 10(1), pages 58-82.
- Vartan Choulakian, 1988. "Exploratory analysis of contingency tables by loglinear formulation and generalizations of correspondence analysis," Psychometrika, Springer;The Psychometric Society, vol. 53(4), pages 593-593, December.
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Keywords
rachunek kosztów działań; analiza kosztów;Statistics
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